Full Stack Python Engineer
North America
July 2, 2026 at 5:24 AM
✨ AI summary
Location
- British Columbia, Canada
Languages
- Python
Frameworks
- Flask (or similar web frameworks)
Cloud Services
- AWS
- GCP
- Azure
- Render
Databases
- PostgreSQL
- MySQL
- SQLite
Experience Level
- 3-5 years building production web applications
Full Time
Engineer
We're seeking a Full-Stack Engineer to evolve our AI-powered education platform from successful POC to production-ready SaaS. You'll own the technical infrastructure for our multi-tenant interview practice and debate training system, ensuring scalability, reliability, and maintainability as we grow from pilot programs to broader adoption.
What you’ll do
Required
Take a working prototype serving real users and transform it into enterprise-ready infrastructure. Own the technical foundation of an AI education platform, balance rapid iteration with production quality, and directly impact students preparing for college interviews and professional opportunities.
Apply now
Engineer
We're seeking a Full-Stack Engineer to evolve our AI-powered education platform from successful POC to production-ready SaaS. You'll own the technical infrastructure for our multi-tenant interview practice and debate training system, ensuring scalability, reliability, and maintainability as we grow from pilot programs to broader adoption.
What you’ll do
Required
- 3-5 years building production web applications with Python
- Strong experience with Flask or similar web frameworks
- Database design and migration experience (PostgreSQL, MySQL, or SQLite)
- RESTful API development and authentication patterns
- Identity Provider integration utilizing JWT (Auth0, etc)
- Experience integrating third-party APIs (analytics, AI services)
- Testing mindset - writing unit and integration tests
- Cloud deployment experience (AWS, GCP, Azure, Render, or similar)
- LLM/AI API integration experience (OpenAI, Anthropic, Gemini)
- Audio/media processing (FFmpeg, transcription services)
- Redis or similar caching/session management
- Monitoring and observability tools (Sentry, DataDog, CloudWatch)
- CI/CD pipeline setup and maintenance
- Security best practices and data privacy compliance
- Google Workspace API integration experience
Take a working prototype serving real users and transform it into enterprise-ready infrastructure. Own the technical foundation of an AI education platform, balance rapid iteration with production quality, and directly impact students preparing for college interviews and professional opportunities.
Apply now